{rfName}
Co

Indexed in

License and use

Citations

17

Altmetrics

Grant support

This work has been made possible by the support of SECTEI (Subsecretaa de Ciencia, Tecnologa e Innovacion de la Ciudad de Mexico) for the first author during his postdoctoral studies at the Universidad Complutense de Madrid.

Analysis of institutional authors

Noain-Sánchez, AmayaAuthor
Share
Publications
>
Article

Coronavirus fake news detection via MedOSINT check in health care official bulletins with CBR explanation: The way to find the real information source through OSINT, the verifier tool for official journals

Publicated to:Information Sciences. 574 210-237 - 2021-06-20 574(), DOI: 10.1016/j.ins.2021.05.074

Authors: Monterrubio, Sergio Mauricio Martinez; Noain-Sanchez, Amaya; Perez, Elena Verdu; Crespo, Ruben Gonzalez

Affiliations

Univ Int Rioja UNIR, C Ave La Paz 137, Logrono 26006, Spain - Author

Abstract

This research aims to design and prototype a tool to perform intelligence on open sources (OSINT), specifically on official medical bulletins for the detection of false news. MedOSINT is a modular tool that can be adapted to process information from different medical official bulletins. From the processed information, intelligence is generated for decision making, validating the veracity of the COVID-19 news. The tool is compared with other options and it is verified that MedOSINT outperforms the current options when analyzing official bulletins. Moreover, it is complemented with an expert explanation provided by a Case-Based Reasoning (CBR) system. This is proved to be an ideal complement because it can find explanatory cases for an explanation-by-example justification. (c) 2021 Elsevier Inc. All rights reserved.

Keywords
CbCbrConsumptionCoronavirusCovid-19Fake news detectionModeOsint

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Information Sciences due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 16/164, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Information Systems. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 3.46, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-14, the following number of citations:

  • WoS: 7
  • Scopus: 10
  • OpenCitations: 10
Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-14:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 83.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 83 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).